Anwar Bairakdar

Financial Mathematics student (GPA 3.4, Dean's List) specializing in data-driven modeling of complex, high-noise systems. I build and validate quantitative frameworks that extract structure from uncertainty using statistical inference, simulation, and algorithmic design. My work spans bioscience research and systematic trading systems, where I model distributions, regime behavior, and error propagation rather than relying on heuristics or narratives.

I operate from first principles, decomposing systems into measurable components, stress-testing assumptions, and enforcing robustness through validation and reproducibility. I am focused on solving hard data problems where precision, discipline, and mathematical thinking separate signals from noise.

Sales Associate at BELL TELECOMMUNICATIONS (2021-03 – 2022-09)

• Exceeded personal sales quota by 30% on average for four consecutive months through customer engagement and leveraging extensive product knowledge across a range of different tech products.
• Transitioned over 50 households from a main competitor to Bell's internet and TV packages and issued more than 60 new mobility family deals.
• Analyzed personal sales data to identify geographic trends, optimizing lead generation and targeting efforts to enhance customer acquisition and drive sales growth.

Junior Trader at Toronto Metropolitan University (Rotman Competition) (2025-02 – 2025-02)

Competed in the prestigious Rotman International Trading Competition under TMU's name and sponsorship, gaining hands-on experience in algorithmic trading, market making, and risk management.

• Developed an automated trading algorithm in Python for the Rotman International Trading Competition, implementing the Capital Asset Pricing Model (CAPM) to optimize asset allocation and risk assessment.
• Lead as a trader in the Commodities Case, managing positions in crude oil and heating oil while optimizing risk and profitability. Provided data-driven forecasts to support our refiner's decision-making, leveraging market trends, inventory levels, and macroeconomic indicators to refine hedging strategies and enhance trading performance.

Data Analyst at Re3Life Healthcare Technologies / Bulgarian Academy of Sciences (2025-09 – Present)

Collaborated with Dr. Petko Stoev (Bulgarian Academy of Sciences; Re3Life Healthcare Technologies) to analyze 25,000+ kinematic datapoints from lower-limb prosthetic and wheelchair-robot trials, including joint angles, velocities, accelerations, and positional metrics.

• Applied statistical variance reduction techniques (ANCOVA) to estimate noise and improve biomechanical accuracy in force-output models for lower-body prosthetic systems.
• Performed mathematical verification and model refinement to support Dr. Stoev's presentation at the International Conference on Biomedical and Health Sciences (ICBAHS) in Istanbul.

Bachelor of Applied Science (BASc) in Financial Mathematics; Minor in Physics – TORONTO METROPOLITAN UNIVERSITY (formerly Ryerson) (2027-04)